Preview Data Science- Self Learning Course

Back

Session 1:Business Analytics & Business Intelligence Theory

Business Analytics and Business Intelligence Theory

Session 2 Machine Learning & Artificial Intelligence Theory

Machine Learning & Artificial Intelligence Theory

Module 3 How to Work in the Cloud Practical Session

Copy of How to Work in the Cloud Practical Session

Session 4 Python Introduction Theory

Python Introduction Theory

Python Introduction Practical Task

Session 5: Numpy Theory

Numpy Theory

Numpy Practical Session

Numpy Practical Task

Session 6 Pandas Data Analysis

Pandas Data Analysis Theory Part 1

Pandas Data Analysis Theory Part 2

Pandas Data Analysis Practical Task

Session 7 Matplotlib Data Visualization

Pandas Data Analysis Theory Part 1

Pandas Data Analysis Theory Part 2

Matplotlib Data Visualization Practical Task

Session 8 Statistics of data science

Statistics for Data Science Part 1

Statistics for Data Science Part 2

Session 9: Machine Learning Techniques

Machine Learning Techniques Theory Part 1

Machine Learning Techniques Theory Part 2

Session 10 Sports Analytics Project

Sports Analytics Project Session

Sports Analytics Project Task

Session 11 HR Salary Analytics

HR Salary Analytics Project Session

HR Salary Analytics Project Task

Session 12 Survival Analytics

Survival Analytics Project Session

Survival Analytics Project Task

Session 13 Health Care Project

Health Care Analytics Project Session

Health Care Analytics Project Task

Session 14 How to Clean Data Practical Session

How to Clean Data Practical Session

Session 15 Decision Tree and Random Forest Algorithm

Decision Tree and Random Forest Algorithm

Session 16 Plant Analytics Project Part 1

Plant Analytics Project Session Part 1

Plant Analytics Project task Part 1

Session 17 Naïve Bayes and KNN Algorithm

Naive Bayes and KNN Algorithm

Session 18 Support Vector Machine Algorithm

Support Vector Machine Algorithm

Session 18 Plant Analytics Project Part 2

Plant Analytics Project Session Part 2

Session 19 How to Calculate Feature Importance Practical Session

How to Calculate Feature Importance Practical Session

Session 20 Ensemble Learning Techniques

Ensemble Learning Technique

Ensemble Learning Project Session

Session 21 Data Mining Theory

Data Mining Theory

Session 22 Web Scraping using Python

Web Scraping using Python Beautiful Soup Theory

Web Scraping using Beautiful Soup Practical Session

Session 23 Time Series Analysis Theory

Time Series Analysis Theory

Time Series Analysis Practical Session

Time Series Analysis Practical Task

Session 23 Natural Language Processing (NLP) & Text Mining Theory

Natural Language Processing (NLP) & Text Mining Theory

Session 24 Sentiment Analysis using Text blob

Sentiment Analytics using Text Blob Practical Session

Sentiment Analytics using Text Blob Practical Task

Session 25 Natural Language Processing using NLTK

Natural Language Processing (NLP) using NLTK Practical Session

Natural Language Processing (NLP) using NLTK Practical Task

Session 26 Market Basket Analysis

Market Basket Analysis Theory

Market Basket Analysis Practical Session

Market Basket Analysis Practical Task

Session 27 Recommendation System

Recommendation System Project Session

Recommendation System Project Task

Session 28 Bank Loan (Credit Risk)

Bank Loan (Credit Risk) Project Session

Bank Loan (Credit Risk) Project Task

Session 29 Cyber Security Anomaly Detection project

Cyber Security Anomaly Detection Project Session

Session 30 ECommerce Sales

eCommerce Sales Project Session

eCommerce Sales Project Task

Preview - Data Science- Self Learning Course